Manager, Data Engineering
Avalara (company site, opens in a new tab)8+ yrsPuneOn-siteDirect career pageEst. 28–45 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and mentor a team of data engineers to develop and maintain scalable data pipelines, data models, and analytics infrastructure using Snowflake, dbt, Python, Terraform, and Airflow.
- Design and build advanced marketing attribution models (e.g., Markov Chain with time-decay) to quantify multi-touch channel contribution for SaaS marketing and sales funnel, influencing budget allocation decisions.
- Drive innovation, best practices adoption, AI-assisted engineering tools implementation, and manage communication and delivery of the team's projects to stakeholders.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- 8+ years of experience in data engineering with deep SQL knowledge.
- 2+ years of people management experience with direct technical reports.
- Experience requirements: 5+ years data warehousing concepts and technologies; 4+ years with Git and Snowflake; 3+ years with dbt; working knowledge of probabilistic attribution modeling for SaaS marketing funnels.
Ideal Candidate Profile
- Experienced leader able to mentor and grow data engineering teams while delivering complex data solutions and analytics products.
- Strong technical expertise with modern data stack technologies (Snowflake, dbt, Terraform, Airflow) and cloud infrastructure as code.
- Strategic thinker who can translate complex marketing and sales data models into scalable production data pipelines and reporting to drive business decisions.